Abstract
The objective of the present research paper is to develop artificial neural network simulation and analyse the most important π-term from five independent pi terms (aspect ratio, aggregate–cement ratio, water–cement ratio, percentage of fibre and control strength) for prediction of SFRC strength. The output of this network can be evaluated by comparing it with experimental strength and the predicted ANN simulation strength. The study becomes more fruitful when the most influencing π-term is calculated for the prediction of SFRC strength.
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Shende, A.M., Yadav, K.P., Pande, A.M. (2022). Artificial Neural Network (ANN) Models for Prediction of Steel Fibre-Reinforced Concrete Strength. In: Laishram, B., Tawalare, A. (eds) Recent Advancements in Civil Engineering. ACE 2020. Lecture Notes in Civil Engineering, vol 172. Springer, Singapore. https://doi.org/10.1007/978-981-16-4396-5_21
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DOI: https://doi.org/10.1007/978-981-16-4396-5_21
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